Developed over 15 years ago, the Maximum Likelihood–Probabilistic Data Association target tracking algorithm has been demonstrated to be effective in tracking Very Low Observable (VLO) targets where target signal-to-noise ratios (SNR) require very low detection processing thresholds to reliably give target detections. However this algorithm has had limitations, which in many cases would preclud...

In many tracking applications, the target state is estimated using range-bearing measurements. For statistical trackers, this problem may be dealt with using a converted measurement Kalman Filter. In this paper, measurement conversion procedures are proposed for using range-bearing measurements in a set based tracker. These procedures involve overbounding the rangebearing error region with an e...

We propose a target tracking system based on a camera and laser rangefinder. Two trackers have been developed: a laser-based tracker and a vision-based tracker. They detect moving or bright-colored targets, and report the positions of the targets in a coordinate system rigidly attached to the sensors. Both trackers have been implemented and tested with stationary sensors embedded in an office e...

Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Abstract In this paper, we propose a visual servoing of the orientation o...

We propose an online multi-target tracker that exploits both highand low-confidence target detections in a Probability Hypothesis Density Particle Filter framework. High-confidence (strong) detections are used for label propagation and target initialization. Low-confidence (weak) detections only support the propagation of labels, i.e. tracking existing targets. Moreover, we perform data associa...

This paper analyzes the behavior of a variety of tracking algorithms for single layer threshold networks in the presence of random drift. We use a system identiication model to model a target network where weights slowly change and a tracking network. Tracking algorithms are divided into conservative and nonconservative algorithms. For a random drift rate of , we nd upper bounds for the general...

Abstract According to the surface reflection characteristics of carbon fiber reinforced plastics and geometric aircraft panel parts, a robot automatic measurement system based on line laser scanning is designed. The selection criteria pose pre-calibration method tracker are given. A 3D reconstruction global stitching large-scale parts proposed, Finally, correctness effectiveness proposed verifi...

Multistatic active sonar systems are being developed for the mission of tracking enemy submarines in harsh underwater environments. This paper will focus on a revolutionary new method with which to track a target. A fuzzy logic based tracker has been developed which performs remarkably better than a Kalman filter tracker. This is accomplished through the use of additional, non-kinematic informa...